
Sr. Full Stack Engineer
- 🇺🇸 United States
- Remote
- Senior
- 1 day ago
- Machine Learning
- OCR
- Python
- YAML
- AI
- Large Language Models
- SQL
- Data Modeling
- CI/CD
- IaC
Location:
For Those Who Work At Home, GeorgiaPosition SummaryÂ
We are seeking a specialist with experience designing, training, and operationalizing intelligent document-processing solutions. The ideal candidate combines applied AI and machine learning expertise with cloud data engineering, secure information handling, and configurable business-rule automation. This role focuses on turning unstructured and semi-structured documents into accurate, auditable, and actionable data products.Â
Core Technical SkillsÂ
- Intelligent Document Processing (IDP), optical character recognition (OCR), and document classificationÂ
- Training, evaluating, and tuning document extraction models for structured, semi-structured, and handwritten contentÂ
- Entity and field extraction, confidence scoring, quality metrics, and model accuracy assessmentÂ
- Document preprocessing, page-level validation, exception detection, and human-in-the-loop review patternsÂ
- Python development for data processing, automation, model integration, and reusable componentsÂ
- Cloud-native data pipelines using object storage, analytical databases, batch processing, and job orchestrationÂ
- Configuration-driven validation using YAML or similar formats to separate business rules from application codeÂ
- Data normalization, reconciliation, tolerance handling, and comparison against authoritative data sourcesÂ
- Encryption, decryption, sensitive-data controls, auditability, and secure cloud processingÂ
- API and system integration for ingesting documents, publishing results, and supporting downstream workflowsÂ
Applied AI and Machine LearningÂ
- Practical experience with document AI platforms or comparable machine learning servicesÂ
- Understanding of supervised model training, labeling strategies, evaluation datasets, confidence thresholds, and error analysisÂ
- Ability to identify when OCR, rules-based logic, machine learning, or generative AI is the appropriate solutionÂ
- Experience applying large language models to document understanding, unstructured content analysis, summarization, or reasoning use casesÂ
- Knowledge of responsible AI practices, including explainability, traceability, quality controls, and review escalationÂ
Data and Platform EngineeringÂ
- Experience with cloud object storage, SQL-based analytical platforms, and production data pipelinesÂ
- Batch and event-driven processing patterns, workflow orchestration, retries, monitoring, and operational supportÂ
- Data modeling for extracted values, confidence scores, validation results, and processing historyÂ
- CI/CD, source control, automated testing, environment promotion, and infrastructure-as-code practicesÂ
- Observability and troubleshooting across model, application, data, and integration layersÂ
Business and Delivery CapabilitiesÂ
- Ability to translate document-review procedures into clear technical requirements and configurable validation rulesÂ
- Collaboration with business subject-matter experts to define fields, thresholds, exceptions, and acceptance criteriaÂ
- Clear documentation of model behavior, processing logic, decision outcomes, and operational proceduresÂ
- Ability to communicate complex AI and data-processing concepts to technical and non-technical stakeholdersÂ
- Focus on scalable, reusable solutions rather than one-off document automationsÂ
Required QualificationsÂ
- Bachelor's Degree in Information Systems, Computer Science, Data Analytics, or related technical field
- Hands-on experience delivering document-processing or information-extraction solutions in a regulated industryÂ
- Experience with sensitive or confidential information and enterprise security controlsÂ
- Familiarity with cloud-based machine learning and data platformsÂ
- Knowledge of financial-services, legal, healthcare, insurance, or other document-intensive workflowsÂ
- Experience designing exception-based workflows that reduce manual review while preserving quality and controlÂ
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.Please clickhere for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 11/14/2026

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailingHR_Compliance@keybank.com.
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#LI-RemoteSr. Full Stack Engineer · KeyBank National Association